[BUG] qanything-container-local启动报错

nwlqm0z1  于 2个月前  发布在  其他
关注(0)|答案(6)|浏览(39)

是否已有关于该错误的issue或讨论？
我已经搜索过已有的issues和讨论

该问题是否在FAQ中有解答？
我已经搜索过FAQ

当前行为
部署启动qanything-container-local该image的时候报错

期望行为
running

运行环境

- OS:win 10
- NVIDIA Driver:546.33
- CUDA:12.3.107
- Docker Compose:Docker Compose version v2.23.3-desktop.2
- NVIDIA GPU Memory:16

QAnything日志
2024-01-10 13:28:33 =============================
2024-01-10 13:28:33 == Triton Inference Server ==
2024-01-10 13:28:33 =============================
2024-01-10 13:28:33
2024-01-10 13:28:33 NVIDIA Release 23.05 (build 61161506)
2024-01-10 13:28:33 Triton Server Version 2.34.0
2024-01-10 13:28:33
2024-01-10 13:28:33 Copyright (c) 2018-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
2024-01-10 13:28:33
2024-01-10 13:28:33 Various files include modifications (c) NVIDIA CORPORATION & AFFILIATES. All rights reserved.
2024-01-10 13:28:33
2024-01-10 13:28:33 This container image and its contents are governed by the NVIDIA Deep Learning Container License.
2024-01-10 13:28:33 By pulling and using the container, you accept the terms and conditions of this license:
2024-01-10 13:28:33 https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license
2024-01-10 13:28:34
2024-01-10 13:28:34 /opt/nvidia/nvidia_entrypoint.sh: /workspace/qanything_local/scripts/run_for_local.sh: /bin/bash^M: bad interpreter: No such file or directory
2024-01-10 13:28:34 /opt/nvidia/nvidia_entrypoint.sh: line 49: /workspace/qanything_local/scripts/run_for_local.sh: Success

复现方法 | Steps To Reproduce
在docker-compose -f docker-compose-windows.yaml up qanything_local使用该命令时报错

备注 | Anything else?

QAnything

6条答案

按热度按时间
axkjgtzd

axkjgtzd1#

我也是，但我是Linux系统。

  • 操作系统：Ubuntu 22.04
  • NVIDIA驱动：546.33
  • docker-compose版本：1.29.2
  • GPU型号：4090
  • NVIDIA-SMI 545.23.08驱动版本：545.23.08 CUDA版本：12.3
  • nvcc Cuda编译工具，发布版本12.1,V12.1.105构建cuda_12.1.r12.1/compiler.32688072_0

sudo docker-compose -f docker-compose-linux.yaml up qanything_local

日志：

milvus-minio-local是最新的
milvus-etcd-local是最新的
mysql-container-local是最新的
milvus-standalone-local是最新的
启动qanything-container-local ...完成
附加到qanything-container-local
qanything-container-local |
qanything-container-local | =============================
qanything-container-local | == Triton推理服务器 ==
qanything-container-local | =============================
qanything-container-local |
qanything-container-local | NVIDIA Release 23.05(build 61161506)
qanything-container-local | Triton服务器版本2.34.0
qanything-container-local |
qanything-container-local | Copyright (c) 2018-2023,NVIDIA CORPORATION & AFFILIATES。所有权利保留。
qanything-container-local |
qanything-container-local | 各种文件包括修改(c)NVIDIA CORPORATION & AFFILIATES。所有权利保留。
qanything-container-local |
qanything-container-local | 此容器映像及其内容受NVIDIA深度学习容器许可的约束。
qanything-container-local | 通过拉取和使用此容器，您接受本许可条款和条件：
qanything-container-local | https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license
qanything-container-local |
qanything-container-local | /opt/nvidia/nvidia_entrypoint.sh: /workspace/qanything_local/scripts/run_for_local.sh: /bin/bash^M:错误的解释器：没有这样的文件或目录
qanything-container-local | /opt/nvidia/nvidia_entrypoint.sh:第49行：/workspace/qanything_local/scripts/run_for_local.sh:成功
qanything-container-local以代码126退出

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svdrlsy4

svdrlsy42#

请执行以下命令。

sed -i "s/\r//" scripts/run_for_local.sh
sed -i "s/^M//" scripts/run_for_local.sh

由于某种原因，启动脚本已被更改为DOS格式，需要手动修改为UNIX格式。

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3b6akqbq

3b6akqbq3#

我也是，但我是Linux。

  • 操作系统：Ubuntu 22.04
  • NVIDIA驱动：546.33
  • docker-compose版本：1.29.2
  • GPU:4090
  • NVIDIA-SMI 545.23.08驱动版本：545.23.08 CUDA版本：12.3
  • nvcc Cuda编译工具，发布12.1,V12.1.105构建cuda_12.1.r12.1/compiler.32688072_0

sudo docker-compose -f docker-compose-linux.yaml up qanything_local

日志：

milvus-minio-local是最新的milvus-etcd-local是最新的mysql-container-local是最新的milvus-standalone-local是最新的Starting qanything-container-local ... done Attaching to qanything-container-local qanything-container-local | qanything-container-local | ============================= qanything-container-local | == Triton Inference Server == qanything-container-local | ============================= qanything-container-local | qanything-container-local | NVIDIA Release 23.05 (build 61161506) qanything-container-local | Triton Server版本2.34.0 qanything-container-local | qanything-container-local | Copyright (c) 2018-2023,NVIDIA CORPORATION & AFFILIATES。所有权利保留。qanything-container-local | qanything-container-local | 各种文件包括修改(c)NVIDIA CORPORATION & AFFILIATES。所有权利保留。qanything-container-local | qanything-container-local | 此容器映像及其内容受NVIDIA深度学习容器许可的约束。qanything-container-local | 通过拉取和使用容器，您接受本许可条款和条件：qanything-container-local | https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license qanything-container-local | qanything-container-local | /opt/nvidia/nvidia_entrypoint.sh: /workspace/qanything_local/scripts/run_for_local.sh: /bin/bash^M: bad interpreter: No such file or directory qanything-container-local | /opt/nvidia/nvidia_entrypoint.sh:第49行：/workspace/qanything_local/scripts/run_for_local.sh:成功qanything-container-local以代码126退出
请参考最新指南。

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ruyhziif

ruyhziif4#

是否已有关于该错误的issue或讨论？ | Is there an existing issue / discussion for this?

  • 我已经搜索过已有的issues和讨论 | I have searched the existing issues / discussions

该问题是否在FAQ中有解答？ | Is there an existing answer for this in FAQ?

  • 我已经搜索过FAQ | I have searched FAQ

当前行为 | Current Behavior

部署启动qanything-container-local该image的时候报错

期望行为 | Expected Behavior

running

运行环境 | Environment

- OS:win 10
- NVIDIA Driver:546.33
- CUDA:12.3.107
- Docker Compose:Docker Compose version v2.23.3-desktop.2
- NVIDIA GPU Memory:16

QAnything日志 | QAnything logs

2024-01-10 13:28:33 ============================= 2024-01-10 13:28:33 == Triton Inference Server == 2024-01-10 13:28:33 ============================= 2024-01-10 13:28:33 2024-01-10 13:28:33 NVIDIA Release 23.05 (build 61161506) 2024-01-10 13:28:33 Triton Server Version 2.34.0 2024-01-10 13:28:33 2024-01-10 13:28:33 Copyright (c) 2018-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved. 2024-01-10 13:28:33 2024-01-10 13:28:33 Various files include modifications (c) NVIDIA CORPORATION & AFFILIATES. All rights reserved. 2024-01-10 13:28:33 2024-01-10 13:28:33 This container image and its contents are governed by the NVIDIA Deep Learning Container License. 2024-01-10 13:28:33 By pulling and using the container, you accept the terms and conditions of this license: 2024-01-10 13:28:33 https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license 2024-01-10 13:28:34 2024-01-10 13:28:34 /opt/nvidia/nvidia_entrypoint.sh: /workspace/qanything_local/scripts/run_for_local.sh: /bin/bash^M: bad interpreter: No such file or directory 2024-01-10 13:28:34 /opt/nvidia/nvidia_entrypoint.sh: line 49: /workspace/qanything_local/scripts/run_for_local.sh: Success

复现方法 | Steps To Reproduce

在docker-compose -f docker-compose-windows.yaml up qanything_local使用该命令时报错

备注 | Anything else?

  • No response*

Please refer to the latest instructions.

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xmjla07d

xmjla07d5#

好的，它可以运行，但仅限于本地使用。

如果从局域网上的其他设备访问，会出现错误

结束控制台：

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b09cbbtk

b09cbbtk6#

好的，它可以运行，但仅限于本地。

如果从局域网的其他设备访问，会出现错误

结束控制台：

安装时选择云服务，如图所示，然后输入宿主机的IP地址即可：

赞(0）分享  回复(0）举报  2个月前
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